Search engine that queries for information to find the best results based on custom analysers and indexing techniques.
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Updated
Sep 1, 2022 - C
Search engine that queries for information to find the best results based on custom analysers and indexing techniques.
A Comprehensive Guide to Titanic Machine Learning from Disaster
Training binary classifier and multi-class classifier to classify the MNIST datase
Build repository for brambox - https://gitlab.com/eavise/brambox
This is an highly imbalanced data with only 1.72% minority and 98.28% majority class, i will be explaining Up and down sampling and effect of sampling before and while doing cross validation. Model has been evaluated using precision recall curve.
Linear Regression, Logistic Regression, ML Pipeline
Предиктивный анализ оттока клиентов
Develop a model to predict which retail customers will respond to a marketing campaign. Logistic Regression shows the best performance.
This notebook describes how to compute and derive insights from various classification evaluation metrics.
Resampling exercise to predict accuracy, precision, and sensitivity in credit-loan risk
A Portuguese hotel group seeks to understand reasons for its excessive cancellation rates.
This repository is for me to experiment with various Classification Models using Python.
Sampling unbalanced dataset using SMOTE and creating a classifier to classify if a HR will stay or leave.
Fully connected neural network analyzing sentiments in reviews for Amazon's Alexa.
A hotel chain is having issues with cancellations. This project analyzes customer booking data to identify which factors significantly influence cancellations, build models using logistic regression and decision trees to predict cancellations in advance, and help formulate profitable policies for cancellations and refunds for the hotel group
A wide variety of supervised and unsupervised machine learning methods using the scikit-learn library
Predict fraudulent credit card transactions using TensorFlow, Keras, K Neighbors, Decision Tree, SVM Regression and Logistic Regression classifiers .
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